In-vehicle monitoring by radar: A review
A Gharamohammadi, A Khajepour… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
The proliferation of vehicles and a subsequent increase in traffic accidents have led to a
heightened focus on driving safety. As a result, various researchers have been examining …
heightened focus on driving safety. As a result, various researchers have been examining …
UTIL: An ultra-wideband time-difference-of-arrival indoor localization dataset
Ultra-wideband (UWB) time-difference-of-arrival (TDOA)-based localization has emerged as
a promising, low-cost, and scalable indoor localization solution, which is especially suited …
a promising, low-cost, and scalable indoor localization solution, which is especially suited …
Distracted Driver Detection and Driver Rating System using Deep Learning
The prevalence of driver distraction is on the rise due to the widespread adoption and
complexity of in-vehicle technologies and portable devices. This trend poses a significant …
complexity of in-vehicle technologies and portable devices. This trend poses a significant …
AReNet: Cascade learning of multibranch convolutional neural networks for human activity recognition
A Boudjema, F Titouna, C Titouna - Multimedia Tools and Applications, 2024 - Springer
Abstract Human Activity Recognition (HAR) has become a crucial area of research, driven
by the advancements in wearable device sensors. HAR finds widespread applications …
by the advancements in wearable device sensors. HAR finds widespread applications …
Speaker identification using Ultra‐Wideband measurement of voice
Voice identification is being increasingly adopted in various domains, including security
infrastructures, intelligent home systems, and personalised digital assistants. Notably, it …
infrastructures, intelligent home systems, and personalised digital assistants. Notably, it …
Through-Wall Human Activity Recognition with Complex-valued Range–Time–Doppler Feature and Region-Vectorization ConvGRU
In this article, we consider a high-accuracy and low-complexity method for recognizing
human activities behind wall. As the amount of information conveyed by data representation …
human activities behind wall. As the amount of information conveyed by data representation …
PointNet-Transformer Fusion Network for In-Cabin Occupancy Monitoring With mm-Wave Radar
Z Xiao, K Ye, G Cui - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Due to the irregular distribution of 3-D point clouds and the random movement of the
passengers, it is difficult to accurately and rapidly determine the passenger occupancy …
passengers, it is difficult to accurately and rapidly determine the passenger occupancy …
Distracted driver behavior recognition using modified capsule networks
JA Kadar, MAK Dewi, E Suryawati… - … , Electrical Power, and …, 2023 - mev.brin.go.id
Human activity recognition (HAR) is an increasingly active study field within the computer
vision community. In HAR, driver behavior can be detected to ensure safe travel. Detect …
vision community. In HAR, driver behavior can be detected to ensure safe travel. Detect …
A Comprehensive Overview on UWB Radar: Applications, Standards, Signal Processing Techniques, Datasets, Radio Chips, Trends and Future Research Directions
Due to their large bandwidth, relatively low cost, and robust performance, UWB radio chips
can be used for a wide variety of applications, including localization, communication, and …
can be used for a wide variety of applications, including localization, communication, and …
Internet of Things-driven Human Activity Recognition of elderly and disabled people using Arithmetic Optimization Algorithm with LSTM autoencoder
In recent times, mobile communications and Internet of Things (IoT) techniques have been
technologically advanced to gather environmental and human data for many applications …
technologically advanced to gather environmental and human data for many applications …